Difference scaling is a method for scaling perceived supra-threshold differences. The package contains functions that allow the user to design and run a difference scaling experiment, to fit the resulting data by maximum likelihood and test the internal validity of the estimated scale.
| Version: | 0.4.5 |
| Depends: | R (≥ 3.0), graphics, stats, utils, base |
| Imports: | MASS |
| Published: | 2015-08-19 |
| Author: | Kenneth Knoblauch and Laurence T. Maloney, based in part on C code written by Laurence T. Maloney and J. N. Yang |
| Maintainer: | Ken Knoblauch <ken.knoblauch at inserm.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | MLDS citation info |
| Materials: | NEWS |
| In views: | Psychometrics |
| CRAN checks: | MLDS results |
| Reference manual: | MLDS.pdf |
| Vignettes: |
{MLDS: Maximum Likelihood Difference Scaling in R} |
| Package source: | MLDS_0.4.5.tar.gz |
| Windows binaries: | r-devel: MLDS_0.4.5.zip, r-release: MLDS_0.4.5.zip, r-oldrel: MLDS_0.4.5.zip |
| macOS binaries: | r-release: MLDS_0.4.5.tgz, r-oldrel: MLDS_0.4.5.tgz |
| Old sources: | MLDS archive |
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